id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
11433206 | import numpy as np
import junctiontree as jt
from .util import assert_potentials_equal
import unittest
from junctiontree import computation as comp
import copy
def test_clique_graph():
def _run(factors, sizes, maxcliques, factor_to_maxclique, function):
g = jt.CliqueGraph(
maxcliques=maxcliqu... |
11433207 | import random
import torch
from torch.nn import functional as F
from parlai.agents.transformer.transformer import add_common_cmdline_args, TransformerGeneratorModel
from parlai.agents.dialog_evaluator.auto_evaluator import TorchGeneratorWithDialogEvalAgent
from parlai.core.torch_generator_agent import Output
from parla... |
11433282 | import functools
import inspect
import sys
from typing import Any, Callable, Dict, Mapping, Optional, Union
if sys.version_info < (3, 9):
from typing_extensions import Annotated, get_args, get_origin, get_type_hints
else:
from typing import Annotated, get_type_hints, get_origin, get_args
from di._utils.types ... |
11433304 | from . import _librootnumpy
__all__ = [
'matrix',
]
def matrix(mat):
"""Convert a ROOT TMatrix into a NumPy matrix.
Parameters
----------
mat : ROOT TMatrixT
A ROOT TMatrixD or TMatrixF
Returns
-------
mat : numpy.matrix
A NumPy matrix
Examples
--------
... |
11433309 | from typing import Iterable, Iterator, List, Tuple, Union
import logging
import os
import stat
import subprocess
class FileSystem():
def __init__(self, adb_arguments: List[str]) -> None:
self.adb_arguments = adb_arguments
def adbShell(self, commands: List[str]) -> Iterator[str]:
with subproces... |
11433319 | from restbasetest import *
from common.rest.storage_helper import VolumeHelper, VolumeSnapshotHelper
class TestVolumeSnapshotRequests(RESTBaseTest):
@classmethod
def setup_class(cls):
super(TestVolumeSnapshotRequests, cls).setup_class()
cls.vhelper = VolumeHelper(cls.utils)
cls.shelp... |
11433326 | import sys
import logging
from .chrome_printtopdf import logger, get_pdf_with_chrome_sync
def main():
ch = logging.StreamHandler(sys.stderr)
ch.setLevel(logging.DEBUG)
logger.addHandler(ch)
chrome_binary = sys.argv[1]
pdf_file = get_pdf_with_chrome_sync(sys.argv[2],
chrome_binary=chrome... |
11433332 | class Solution(object):
def get_token(self, s, i):
while i < len(s) and s[i] == " ":
i += 1
if i >= len(s):
return len(s), None
if s[i] in "+-()":
return i + 1, s[i]
num = 0
while i < len(s) and s[i] in "0123456789":
num = num *... |
11433350 | import os
import SpiceInterface
import TestUtilities
circuit = 'bandgap_core_stability_ptat.sch'
# create the test utility object
test_utilities_obj = TestUtilities.TestUtilities()
test_utilities_obj.netlist_generation(circuit, "rundir")
# create the spice interface
spice_interface_obj = SpiceInterface.SpiceInterfac... |
11433423 | from django.conf import settings
from django.shortcuts import redirect, render
from django.urls import reverse
def index(request):
return redirect(reverse('images:index'))
def problem_report(request):
if settings.PROBLEMS_TEXT is not '':
return render(request, 'base/problem.html', {
'tex... |
11433460 | from django.contrib.auth.decorators import user_passes_test
from django.conf import settings
from django.utils import timezone
def activity_required(view=None, redirect_field_name="next"):
"""
Similar to :func:`~django.contrib.auth.decorators.login_required`, but
requires the user to be :term:`verified`. ... |
11433462 | from core import system
from core.modules.module_registry import registry
from packages.spreadsheet.basic_widgets import SpreadsheetCell, CellLocation
class Render(SpreadsheetCell):
def compute(self):
pass
def registerRender():
registry.add_module(Render, abstract=True)
|
11433467 | import torch
import torch.nn as nn
import torch.nn.functional as F
ACT2FN = {'elu': F.elu, 'relu': F.relu, 'sigmoid': torch.sigmoid, 'tanh': torch.tanh}
class CorNetBlock(nn.Module):
def __init__(self, context_size, output_size, cornet_act='sigmoid', **kwargs):
super(CorNetBlock, self).__init__()
... |
11433510 | from python_lib_util import csvtools as c
# STEP ONE: Generate a list of fips codes, by combining stfips and ctyfips.
# Also, include full county name + name w/o county + state in new lists
data = c.read_as_dict('fips-join/fips.csv')
aca_2014 = c.read_as_dict('filtered-csvs/2014-issuers-filtered.csv')
aca_2015 = c.rea... |
11433546 | from copy import copy
import lightgbm as lgb
import pandas as pd
import numpy as np
from typing import Any, Dict, Iterable, List, Tuple, Union
from collections import OrderedDict
from itertools import product
# TODO: Do we need random state here?
np.random.seed(232)
class TreeParamOptimizer:
"""
Класс для о... |
11433554 | import FWCore.ParameterSet.Config as cms
from IOMC.EventVertexGenerators.VtxSmearedParameters_cfi import Fixed_EmitRealistic5TeVppCollision2017VtxSmearingParameters,VtxSmearedCommon
VtxSmeared = cms.EDProducer("BetafuncEvtVtxGenerator",
Fixed_EmitRealistic5TeVppCollision2017VtxSmearingParameters,
VtxSmearedCom... |
11433570 | DOMAIN = 'duofern'
DUOFERN_COMPONENTS = ['cover', 'light', 'binary_sensor']
CONF_SERIAL_PORT = 'serial_port'
CONF_CODE = 'code'
|
11433597 | import pandas as pd
import seaborn as sns
import numpy as np
import matplotlib.colors as colors
import matplotlib.patheffects as path_effects
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
from mpl_toolkits.axes_grid1 import make_axes_locatable
from mapclassify import FisherJenks
from aves.visualization.c... |
11433658 | import datetime
import json
import humanize
from Bio.SeqUtils import seq3
import pandas as pd
from markupsafe import Markup
from werkzeug.urls import url_encode
from biophi.common.utils.formatting import aa_name
from flask import Flask, url_for, request, render_template
import os
from biophi.common.utils.scheduler imp... |
11433664 | import os
import time
def RunManyJobs():
# run random-success jobs
jobPath = 'autotest/random_fail.job'
task = ''
for i in range(0, 500):
task += 'run ' + jobPath + ';'
cmd = './prun -c "' + task + '"'
os.system( cmd )
# run always failing jobs
jobPath = 'autotest/fail.job'
... |
11433685 | import numpy as np
import torch
import torch.nn.functional as F
def get_device(device=None):
if isinstance(device, torch.device):
return device
return torch.device(device) if device else torch.device('cuda' if torch.cuda.is_available() else 'cpu')
def downsample(tensor, factor, bilinear=True):
"... |
11433688 | import json
import os
import requests
from django.contrib.auth.hashers import check_password, make_password
from django.core import signing
from .find_error import Data, correct_statis, error_statis
from .models import *
from .utils import *
'''
目前是把所有的接口都放在这
但是为了方便管理和维护，以及更好的逻辑
可以多弄几个app 使每个app的功能更加细化
当然要记得同时更改前端请求... |
11433728 | from .sql import maybe_get_sql_from_file
def run_existsquery(db, query_or_prefixed_filename, params):
if not query_or_prefixed_filename:
return True
query = maybe_get_sql_from_file(db, query_or_prefixed_filename)
return db.cursor().execute(query, params).fetchone()[0]
def check_existsquery(reque... |
11433766 | import numpy as np
import unittest
import chainer
from chainer import testing
from chainer.testing import attr
from chainercv.links.model.faster_rcnn import FasterRCNNTrainChain
from chainercv.utils import generate_random_bbox
from tests.links_tests.model_tests.faster_rcnn_tests.dummy_faster_rcnn \
import DummyF... |
11433837 | from flask import Flask
from flask import request
from flask import render_template
from GifFinder import GifFinder
import json
gif_finder = GifFinder(word_vector_datafile = '../Data/WordVectors/word_dict.pkl')
app = Flask(__name__, template_folder='../web_interface', static_folder='../web_interface/static')
#static_... |
11433844 | from __future__ import division
import logging
import numpy as np
from bokeh.models.widgets import Slider
from bokeh.models import ColumnDataSource, PrintfTickFormatter
from bokeh.plotting import Figure
from bokeh.io import curdoc
from bokeh.layouts import column
import mandel
import mandel_colormap
import mandelbro... |
11433864 | from constructs import Construct
from aws_cdk import (
CfnOutput,
Stack,
Duration,
aws_iam as iam,
aws_s3 as s3,
aws_ec2 as ec2,
aws_rds as rds,
aws_lambda as _lambda,
# core
)
from aws_cdk.aws_lambda_event_sources import S3EventSource
class AuroraServerlessIngestionStack(Stack):
... |
11433870 | from django.conf.urls import url, include, patterns
from django.contrib import admin
from django.conf import settings
handler403 = 'core.views.forbidden'
handler404 = 'core.views.page_not_found'
handler500 = 'core.views.server_error'
urlpatterns = patterns(
'core.views',
# api urls - WARNING: Do NOT change t... |
11433898 | import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
from sklearn import preprocessing, model_selection, metrics
import lightgbm as lgb
pd.options.mode.chained_assignment = None
pd.options.display.max_columns = 999
train_df = pd.read_csv("C:\\Users\\jowet\\Downloads\... |
11433911 | import unittest
from Firefly.helpers.subscribers import Subscriptions, verify_event_action
from Firefly.const import (EVENT_ACTION_ANY, EVENT_PROPERTY_ANY, EVENT_ACTION_ON, EVENT_ACTION_OFF, STATE,
EVENT_ACTION_OFF, EVENT_ACTION_ON)
class VerifyEventActions(unittest.TestCase):
def test_a... |
11433971 | import tensorflow as tf
import tensorflow_probability as tfp
tfd = tfp.distributions
class SNISDistribution(tf.keras.Model):
def __init__(self, energy_fn, prior, K=128, name="snis_distribution", **kwargs):
super(SNISDistribution, self).__init__(name=name, **kwargs)
self.energy_fn = energy_fn
... |
11434030 | from django.conf import settings
from django.db import transaction
from django.utils.translation import ugettext_lazy as _
from django.utils import timezone
from .models import (
Account, Card, Purchase, PurchaseItem, WalletLogEntry
)
from utils.exceptions import InvalidTransition
from foobar.wallet import api as w... |
11434072 | from django.conf import settings
from django.db import models
class Trip(models.Model):
trip_name = models.CharField(max_length=128)
city = models.ForeignKey('City', on_delete=models.CASCADE)
users = models.ManyToManyField(settings.AUTH_USER_MODEL)
start_date_tx = models.IntegerField(default=0)
is... |
11434095 | from django.core.urlresolvers import reverse
def steps_nav(user, selected, bid=-1):
all_steps = [
#'text'
# 'styling_class(es)',
# 'links_to'
# 'permission_required'
# 'selected'
['Load Roster'... |
11434123 | import os
import sys
import itertools
import numpy as np
import pandas as pd
import scipy.stats as stats
from goatools.obo_parser import GODag
def corr(x, y):
"""
Calculate Corr for x vs y.
Robust to NaNs and infs, returns nans if input doesn't contain values
:param x: input x
:param y: input y
... |
11434150 | from distutils.core import setup
VERSION = '0.0.9'
with open('requirements.txt') as f:
requires = f.read().splitlines()
with open('README.md') as f:
long_description = f.read()
setup(
name='georef-ar-address',
packages=['georef_ar_address'],
version=VERSION,
description='Librería escrita en... |
11434152 | import inspect
import re
import functools, inspect
from functools import wraps
available = {}
walkers = {}
fqlist = {}
class AlreadyRegistered(Exception):
pass
COMMAND='COMMAND'
WALKER='WALKER'
def decorator(func):
''' Allow to use decorator either with arguments or not. '''
def isFuncArg(*args, **kw):
... |
11434178 | nums: list = [1, 2, 3, 4, 5]
def reverse_rec(elements: list):
def reverse_list_helper(values: list, start: int, end: int):
if start < end:
values[start], values[end] = values[end], values[start]
reverse_list_helper(values, start + 1, end - 1)
reverse_list_helper(elements, 0, ... |
11434192 | import pytest
from beancount.loader import load_string
@pytest.fixture
def load_doc(request):
return load_string(request.function.__doc__, dedent=True)
|
11434218 | import pymongo
import redis
client = redis.Redis()
db = pymongo.MongoClient().qa_system
question = db.question
answer = db.answer
# for row in question.find({}, {'_id': 1}):
# _id = str(row['_id'])
# client.zadd('qa_system:question:vote', _id, 0)
for row in answer.find({}, {'_id': 1, 'question_id': 1}):
... |
11434232 | from Qt import QtWidgets
from Qt import QtCore
import pprint
class PacketModel(QtCore.QAbstractTableModel):
def __init__(self, parent=None):
super(PacketModel, self).__init__(parent=parent)
self.__bloc = None
self.__ports = []
self.__packets = {}
self.__row = 0
self... |
11434248 | import logging
import pytest
from datadog_checks.base.errors import CheckException, ConfigurationError
from datadog_checks.dev.utils import get_metadata_metrics
from datadog_checks.tidb import TiDBCheck
from .conftest import required_instance
from .expected import EXPECTED_PD_METRICS, EXPECTED_TIDB_METRICS, EXPECTED... |
11434267 | import random
from GeoHealthCheck.probe import Probe
from GeoHealthCheck.result import Result
from owslib.wms import WebMapService
class WmsDrilldown(Probe):
"""
Probe for WMS endpoint "drilldown": starting
with GetCapabilities doc: get Layers and do
GetMap on them etc. Using OWSLib.WebMapService.
... |
11434269 | from typing import List
class Solution:
def jump(self, nums: List[int]) -> int:
size = len(nums)
# destination is last index
destination = size - 1
dp = [0 for _ in range(size)]
last_jump_index = 0
# counter for j... |
11434273 | import openai
import os
import re
with open('openaiapikey.txt', 'r') as infile:
open_ai_api_key = infile.read()
openai.api_key = open_ai_api_key
ctxdir = 'C:/RavenFinetune/contexts/'
outdir = 'C:/RavenFinetune/questions/'
files = os.listdir(outdir)
prompt_name = 'p_questions_important.txt'
def load_prompt(fil... |
11434298 | from busy_beaver.models import BaseModel
def test_basemodel_tablename():
assert BaseModel.__tablename__ == "basemodel"
|
11434338 | from collections import OrderedDict
from plenum.common.messages.client_request import ClientLedgersFreezeOperation
from plenum.common.messages.fields import ConstantField, IterableField
EXPECTED_ORDERED_FIELDS = OrderedDict([
("type", ConstantField),
("ledgers_ids", IterableField)
])
def test_has_expected_f... |
11434354 | from typing import Any, Callable, Dict
from graphscale import check
from graphscale.errors import async_field_error_boundary, field_error_boundary
from graphscale.pent import PentContext
from graphscale.utils import to_snake_case
def pythonify_dict(input_data: Dict[str, Any]) -> Dict[str, Any]:
data = {}
for... |
11434378 | import tidypolars as tp
from tidypolars import col
def test_group_filter():
"""Can filter by group"""
df = tp.Tibble({'x': range(3), 'y': ['a', 'a', 'b']})
actual = (
df.filter(col('x') <= col('x').mean(),
by = 'y')
.arrange('y')
)
expected = tp.Tibble({'x': [0, 2]... |
11434429 | import sys
import board
import neopixel
import random
import themes
# Change to the number of LEDs you are using
LED_COUNT = 142
# Uses GPIO Pin 18. if you want to use another pin, change the D18 to some other pin
pixels = neopixel.NeoPixel(board.D18, LED_COUNT)
try:
led_status = sys.argv[1]
except:
print("Mi... |
11434434 | r"""Functions to work with Green's functions in matrix from.
A main use case of this library is the calculation of the Green's function
as the resolvent of the Hermitian or from Dyson equation.
Instead of calculating the inverse for every frequency/k-point it is oftentimes
more efficient, to calculate an eigendecompos... |
11434466 | from .racgan_trainer import rACGANTrainer
from .rcgan_trainer import rcGANTrainer
__all__ = ('rACGANTrainer', 'rcGANTrainer')
|
11434472 | import tensorflow as tf
from PIL import Image
import numpy as np
from refinement_net.datasets.Loader import register_dataset
from refinement_net.datasets.Mapillary.MapillaryLike_instance import MapillaryLikeInstanceDataset
from refinement_net.datasets.util.Util import username
# DEFAULT_PATH = "/home/luiten/vision/PR... |
11434476 | from .utilities import is_clone
def test_clone(vertex):
"""
Test :meth:`.Vertex.clone`.
Parameters
----------
vertex : :class:`.Vertex`
The vertex to test.
Returns
-------
None : :class:`NoneType`
"""
clone = vertex.clone()
is_clone(vertex, clone)
|
11434477 | from django.conf import settings
from onadata.apps.eventlog.models import FieldSightLog, FieldSightMessage
def events(request):
from django.contrib.sites.models import Site
site = Site.objects.first()
if request.user.is_anonymous():
messages = []
else:
messages = FieldSightMessage.inb... |
11434478 | from django.shortcuts import render_to_response, get_object_or_404
from django.template import RequestContext
from django.views.generic import list_detail
from our_people.models import Person
import datetime
import re
def person_list(request, page=0, **kwargs):
return list_detail.object_list(request,\
... |
11434479 | from twindb_backup.copy.mysql_copy import MySQLCopy
def test_repr():
copy = MySQLCopy('foo', 'daily', 'some_file.txt', type='full')
assert repr(copy) == 'MySQLCopy(foo/daily/mysql/some_file.txt)'
def test_str():
copy = MySQLCopy('foo', 'daily', 'some_file.txt', type='full')
expected = """MySQLCopy(... |
11434481 | from rest_framework.reverse import reverse
from rest_framework.status import HTTP_200_OK
def test_can_generate_open_api_schema(api_client):
response = api_client.get(reverse("api:json_schema"))
assert response.status_code == HTTP_200_OK
|
11434495 | from forum import ma
from marshmallow import Schema, fields
from marshmallow.validate import Length
from .thread_schema import ThreadSchema
from .user_schema import UserSchema
from forum.database.models.comment import Comment
class CommentSchema(ma.SQLAlchemyAutoSchema):
thread = ma.Nested(ThreadSchema)
owner... |
11434519 | from distutils.core import setup
import sys
if sys.version_info < (2,7):
requires = ['argparse', ]
else:
requires = []
setup(
name = "gnome-background-generator",
version = '1.1.2',
url = 'http://github.com/ametaireau/gnome-background-generator/',
author = '<NAME>',
author_email = '<EMAIL>... |
11434536 | from django.contrib import messages
from django_multiple_forms import forms
from django_multiple_forms.multiple_forms import MultipleFormsView
class MultipleFormsDemoView(MultipleFormsView):
template_name = 'forms.html'
success_url = '/'
forms_classes = [
forms.AdminForm,
forms.ContactFor... |
11434556 | raise NoAppException(
'Detected multiple Flask applications in module "{}". Use '
'"FLASK_APP={}:name" to specify the correct '
'one.'.format(var1, var2)
) |
11434614 | class Solution:
def letterCombinations(self, digits: str) -> List[str]:
dict = {
'2':['a','b','c'],
'3':['d','e','f'],
'4':['g','h','i'],
'5':['j','k','l'],
'6':['m','n','o'],
'7':['p','q','r','s'],
'8':['t','u','v'],
... |
11434626 | from pathlib import Path
from shutil import rmtree
from zipfile import ZipFile
from asreview.state.sql_converter import upgrade_asreview_project_file
old_fp = Path('tests', 'asreview_files', 'test_state_example_old.asreview')
new_fp = Path('tests', 'asreview_files',
'test_state_example_converted.asrevie... |
11434669 | from .forms import CountryFormField
from .models import CountryField
__all__ = ['CountryField', 'CountryFormField']
|
11434685 | from django.template import Library
from django.templatetags.static import PrefixNode
register = Library()
@register.simple_tag
def admin_media_prefix():
"""
Returns the string contained in the setting ADMIN_MEDIA_PREFIX.
"""
return PrefixNode.handle_simple("ADMIN_MEDIA_PREFIX")
|
11434687 | class Solution:
def matrixReshape(self, mat: List[List[int]], r: int, c: int) -> List[List[int]]:
if len(mat) == 0 or (r * c != len(mat) * len(mat[0])):
return mat
result, count = [[0] * c for _ in range(r)], 0
for i in range(len(mat)):
for j in range(len(mat[0])):
... |
11434763 | from functools import total_ordering
from django.db.models import signals
from django.db.models.fields import BLANK_CHOICE_DASH
from django.conf import settings
from django.forms import fields as form_fields
from django.db.models.options import Options
from django.core.exceptions import ValidationError
from neomodel ... |
11434776 | import pytest
numbers = [1, 2, 3, 4]
vowels = ['a', 'b', 'c']
consonants = ['x', 'y', 'z']
@pytest.fixture(params=numbers)
def number(request):
return request.param
@pytest.fixture(params=vowels)
def vowel(request):
return request.param
@pytest.fixture(params=consonants)
def consonant(request):
retur... |
11434869 | import pandas as pd
import numpy as np
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.metrics import f1_score
from tensorflow.keras.callbacks import Callback
class Scaler:
def fit(self, x, y=None):
"""
Computes Scaler parameters and updates corresponding fields.
:par... |
11434900 | import numpy as np
import scipy.linalg as la
from auxiliary import *
a = np.array([[1, 2, 0, 1],
[2, 3,-1, 1],
[1, 2, 0, 4],
[4, 0, 3, 1]], dtype=float)
lu, piv = la.lu_factor(a)
print lu
print piv
mprint('lu', lu)
mprint('ai', la.inv(a))
|
11434914 | from datasets import Dataset, DatasetDict
from transformers import AutoTokenizer
from tango.common.testing import TangoTestCase
from tango.integrations.transformers import TokenizeText2TextData
class TestTokenizeText2TextData(TangoTestCase):
def test_tokenize_seq2seq(self):
dataset = Dataset.from_dict(
... |
11434971 | from django.contrib.contenttypes.models import ContentType
from django.contrib import admin
from name.models import Names, Groups
from guardian.models import GroupObjectPermission
from django.contrib.auth.models import Permission
admin.site.register(Names)
admin.site.register(Groups)
admin.site.register(GroupObjectPer... |
11435018 | import os
import re
import subprocess
import time
from subprocess import call
from PIL import Image, ImageDraw
from op1funRequests import op1funRequests, internetIsOn
from Midi import MidiTool
from FileBrowser import renderFolders, RenderOptionsMenu, renderRename, renderOPZFolder
from GPIO_Init import getAnyKeyEvent, ... |
11435023 | import avalon.api
import avalon.fusion
import avalon.tools.workfiles as tool
avalon.api.install(avalon.fusion)
tool.show()
|
11435051 | from utests import unittest
from system_vars import *
import fun
class GlobalIntegerTestCase(unittest.TestCase):
# Long Long Tests
def test_long_long_min(self):
fun.showname()
c_type = integer[0]
value = c_type[-1]
declaration, names = fun.generate_vars([c_type], [value])
... |
11435066 | import os
import time
import argparse
import json
import torch
from torch.utils.data import DataLoader
from model.tacotron import Tacotron, TacotronLoss
from model.tacotron2 import Tacotron2, Tacotron2Loss
from utils.dataset import TextMelDataset, TextMelCollate
from utils.logger import TacotronLogger
from utils.util... |
11435073 | import pytest
from pipes import quote
from textwrap import dedent
import posixpath
from fabric.api import quiet, run, shell_env, sudo
from fabtools.files import is_link
from fabtools.system import distrib_family
pytestmark = pytest.mark.network
@pytest.fixture(scope='module', autouse=True)
def check_for_debian_f... |
11435116 | from jsonbox import JsonBox
# generate unique box id
MY_BOX_ID = JsonBox.get_new_box_id()
# create instance
jb = JsonBox()
data = [{"name": "first", "age": 25}, {"name": "second", "age": 19}]
# write data
result = jb.write(data, MY_BOX_ID)
# get record id of written data
record_ids = jb.get_record_id(result)
# re... |
11435125 | import logging
from dart.context.database import db
from dart.model.orm import TriggerDao
from dart.model.trigger import Trigger
from dart.service.patcher import patch_difference
from dart.tool.tool_runner import Tool
_logger = logging.getLogger(__name__)
class MigrateTriggerWorkflowIds(Tool):
def __init__(self... |
11435143 | from rest_framework import serializers
from drf_dynamics.mixins import DynamicFieldsMixin
from .models import Answer, Details, Invite, Party, Person
class PersonSerializer(DynamicFieldsMixin, serializers.ModelSerializer):
class Meta:
model = Person
fields = (
"id",
"name",... |
11435200 | from setuptools import setup, find_packages
with open('requirements.txt') as f:
requirements = f.read().splitlines()
with open("README.md", "r") as fh:
long_description = fh.read()
with open('.version') as f:
version = f.read()
setup(
name='fastai_audio',
author="<NAME>",
author_email="<EM... |
11435219 | from util.primitives import dictdiff
import cPickle
from traceback import print_exc
from base64 import b64encode
def uname_str(name):
if isinstance(name, unicode):
return name.encode('utf8')
else:
assert isinstance(name, str)
return str(name)
def password_str(password):
... |
11435229 | import datetime
import time
import re
import os
from bs4 import BeautifulSoup
from selenium import webdriver
def crawl(path, name, start_date="20130101"):
chrome_options = webdriver.ChromeOptions()
chrome_options.add_argument('--headless')
chrome_options.add_argument('--no-sandbox')
chrome_options.add_... |
11435247 | import pytest
from tartiflette import Resolver, create_engine
@pytest.fixture(scope="module", name="ttftt_engine")
async def ttftt_engine_fixture():
sdl = """
type Query {
simpleParameterField(s: String): String
}
"""
@Resolver(
"Query.simpleParameterField",
schema_name="test_regressions... |
11435293 | import time
from PyTango.server import run
from PyTango.server import Device, DeviceMeta
from PyTango.server import attribute, command
class Clock(Device):
__metaclass__ = DeviceMeta
@attribute
def time(self):
return time.time()
@command(dtype_in=str, dtype_out=str)
def strftime(self, fo... |
11435313 | from .utils import *
from .cfilter import CFRecommender
from .svd import SVDRecommender
from .funksvd import FunkSVD
from .fm import FM
from .widedeepnet import WideAndDeepNetwork
__all__ = [CFRecommender,
SVDRecommender,
FunkSVD,
FM,
WideAndDeepNetwork] |
11435338 | import os
def _copyBackingFiles(toolboxPath, output):
"""
Copy templates files to the 'graphics' sub-directory of the output directory when needed.
"""
import shutil
# And finaly copy the css over, we're not checking for existance,as we always want the latest moved over.
shutil.copy(os.path.join(toolboxPath, 'T... |
11435429 | import pandas as pd
import networkx as nx
from ndex.networkn import NdexGraph
import csv
def load(G, filename, source=1, target=2, edge_attributes=None, sep='\t', header=False):
'''Load NdexGraph from file.
:param filename: The name of the file to load. Could include an absolute or relative path.
... |
11435431 | import sys, os
import unittest
import verifiable_mpc.ac20.circuit_sat_cb as cs
from demos import demo_zkp_ac20
class CircuitSat(unittest.TestCase):
@classmethod
def setUpClass(cls):
pass
@classmethod
def tearDownClass(cls):
pass
def test_cs_pivot(self):
ve... |
11435460 | from namecheapapi.api.session import Session
class SslAPI:
def __init__(self, session: Session) -> None:
self.session = session
def activate(self):
pass
def get_info(self):
pass
def parse_csr(self):
pass
def get_approver_email_list(self):
pass
def ... |
11435468 | from gym import Env, spaces
from gym.utils import seeding
import matplotlib.pyplot as plt
import numpy as np
import os
class GridWorld(Env):
metadata = {'render.modes': ['human', 'rgb_array']}
def __init__(self, level='level1', scale=1):
self.level = level
if not '.' in level: level += '.bmp'... |
11435482 | import numpy as np
import pymol
import torch
import wandb
from prody import calcTransformation
from protein_transformer.protein.Sequence import ONE_TO_THREE_LETTER_MAP
import protein_transformer
from protein_transformer.losses import inverse_trig_transform
from protein_transformer.losses import angles_to_coords
from p... |
11435486 | from os import walk
import pandas as pd
import numpy as np
foldn = '9'
cols = ['toxic', 'severe_toxic', 'obscene', 'threat', 'insult', 'identity_hate']
f = []
for (dirpath, dirnames, filenames) in walk('../blend/'):
f.extend(filenames)
break
ff = []
for (dirpath, dirnames, filenames) in walk('... |
11435534 | import logging
from typing import Optional
import numpy as np
import pandas as pd
from anndata import AnnData
from ._obsm_field import ObsmField
logger = logging.getLogger(__name__)
class ProteinObsmField(ObsmField):
"""
An AnnDataField for an protein data stored in an .obsm field of an AnnData object.
... |
11435611 | from django.test import TestCase
from .models import Item
class LiveModelTests(TestCase):
def test_delete(self):
item = Item.objects.create()
item.delete()
self.assertEqual(Item.objects.count(), 0)
self.assertEqual(Item.all_objects.count(), 1)
self.assertEqual(Item.object... |
11435692 | from io import BytesIO
from time import monotonic
import numpy as np
from PIL import Image
from picamera import PiCamera
EDGETPU_SHARED_LIB = 'libedgetpu.so.1'
import tflite_runtime.interpreter as tflite
SCORE_MIN = 0.5 # used by the object (licence plate) detector
# This LPRNet was trained on Chinese license plates... |
11435698 | from contextlib import closing
import os
import socket
import capnp
from passacre import _passacre_capnp
try:
import subprocess32 as subprocess
except ImportError:
import subprocess
class SubprocessClient(object):
_proc = _sock = None
_backend = 'passacre-backend-{0}-{4}'.format(*os.uname())
d... |
11435706 | import filecmp
import pathlib
import shutil
import tempfile
import fix_ascendancy_positions
def test_fix_one() -> None:
raw = pathlib.Path("data.json")
fixed = pathlib.Path("data_fixed.json")
with tempfile.TemporaryDirectory() as td:
new = pathlib.Path(td, raw)
shutil.copy(raw, td)
... |
11435724 | from enum import Enum
class State(Enum):
CODE = 1
C_COMMENT = 2
CPP_COMMENT = 3
STRING_LITERAL = 4
def remove_garbage(text):
result = []
prev = ''
prevprev = ''
state = State.CODE
for ch in text:
if state == State.C_COMMENT:
if prevprev != '\\' and prev == '*' and ch == '/':
state... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.